Pingping Song
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Traumatic Brain Injury and Neurovascular Disturbances
- Clinical Biochemistry top 5%
Papers in
-
- RNA modifications and cancer 4
- Mitochondrial Function and Pathology 4
- S100 Proteins and Annexins 3
- Gene Regulatory Network Analysis 3
-
- MicroRNA in disease regulation 3
- Co-authors
- Daniel T. Laskowitz (3 shared papers)Dimitri Krainc (1 shared paper)Katarina Trajković (1 shared paper)Taiji Tsunemi (1 shared paper)Brian E. Mace (2 shared papers)Wen Yue (1 shared paper)Quan Chen (1 shared paper)Jun Zhou (1 shared paper)
- Journals
- Frontiers in Cellular and Infection Microbiology (2 papers)Journal of Neurotrauma (2 papers)Frontiers in Cellular Neuroscience (2 papers)Optics Express (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Pingping Song
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Neurology 311
- Neurology 122
- Clinical Biochemistry 75
- Molecular Biology 747
- Cell Biology 140
Countries citing papers authored by Pingping Song
This map shows the geographic impact of Pingping Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pingping Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Song more than expected).
Fields of papers citing papers by Pingping Song
This network shows the impact of papers produced by Pingping Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pingping Song. The network helps show where Pingping Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingping Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 307 | |
| 2 | 2007 | 152 | |
| 3 | 2016 | 126 | |
| 4 | 2019 | 84 | |
| 5 | 2007 | 83 | |
| 6 | 2021 | 71 | |
| 7 | 2010 | 69 | |
| 8 | 2021 | 55 | |
| 9 | 2017 | 31 | |
| 10 | 2022 | 24 | |
| 11 | 2014 | 21 | |
| 12 | 2019 | 18 | |
| 13 | 2014 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2017 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2022 | 12 |
About Pingping Song
Pingping Song is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Genetics and Neurology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Mitochondrial Function and Pathology (4 papers), S100 Proteins and Annexins (3 papers), Lysosomal Storage Disorders Research (3 papers), Optical measurement and interference techniques (3 papers), Gene Regulatory Network Analysis (3 papers), Autophagy in Disease and Therapy (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Neurology (311 citations), Neurology (122 citations), Clinical Biochemistry (75 citations), Molecular Biology (747 citations) and Cell Biology (140 citations). Pingping Song has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Daniel T. Laskowitz, Dimitri Krainc, Katarina Trajković, Taiji Tsunemi, Brian E. Mace, Wen Yue, Quan Chen, Jun Zhou, Yushan Zhu and Lei Du. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Journal of Neurotrauma, Frontiers in Cellular Neuroscience, Optics Express and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.